Job Advertisement Title: Data Analyst
Salary: £36,926 - £45,547 per annum
Location: Chelsea and Westminster Hospital
Job Summary
Applications are invited for a Data Analyst to work in the Neonatal Data Analysis Unit to support a NIHR HS&DR funded research project, OptiPrem, to assess the best place of care for babies born between 27 and 31 weeks' gestation in England, and related research.
The Chief Investigator is Dr Tilly Pillay based at the Royal Wolverhampton NHS Foundation Trust. You will be based at the Chelsea and Westminster Hospital campus of Imperial College in London and will work closely with Professor Modi at Imperial College London, Associate Professor Oliver Rivero-Arias (University of Oxford, National Perinatal Epidemiology Unit), and the OptiPrem statistical team led by Professor Brad Manktelow (University of Leicester).
https://www.royalwolverhampton.nhs.uk/research-and-development/opti-prem-improving-neonatal-service-delivery/
Duties and responsibilities
The principal purpose of the post is to support research to improve newborn care and the organisation of neonatal health services. You will contribute to the work of the Neonatal Data Analysis Unit in relation to OptiPrem (Optimising neonatal service provision for Preterm babies born between 27 and 31 weeks of gestation in England, using national data, qualitative research and economic analysis). You will also lead associated methodological studies and link the National Neonatal Research Database with Hospital Episode Statistics and Office for National Statistics data. It is expected that you will lead the preparation of manuscripts for peer-review publication on the output of the methodological studies.
Essential requirements
You will need experience of using statistical methods to estimate causal effects in observational studies. You will also need experience of public health, neonatal service, NHS information or other relevant fields. Experience of database linkage information systems and of writing queries using coding languages such as SQL, SAS, R or STATA, is essential.
Data management and preparation of datasets for analysis is essential as is experience of conducting data queries and overall data cleaning. You will be working in a small team so good communication skills as well as presentation skills will be needed.
Closing date: 07 January 2019
Further Information
The OptiPrem project is a two-year project. This post is advertised as a full-time one-year post in the first instance (with a further one-year extension after year one planned). Applications on a part-time basis will also be considered.
There will be the need to occasionally travel (fully funded) to steering committee meetings and to meetings at the NPEU (Oxford), the Royal Wolverhampton Hospital and the University of Leicester to meet with the OptiPrem statisticians and health economists and CI.
Should you require any further details on the role please contact: Professor Neena Modi through her PA ([log in to unmask]<mailto:[log in to unmask]>)
Should you have any queries regarding the recruitment system or application process please contact Imperial HR: Samantha Oshodi ([log in to unmask]<mailto:[log in to unmask]>)
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